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控制时间跨度:一种普遍适用于各种任务但控制类型不同的元控制属性。

The Timescale of Control: A Meta-Control Property that Generalizes across Tasks but Varies between Types of Control.

机构信息

Department of Psychological and Brain Sciences, Washington University in St. Louis, Campus Box 1125, St. Louis, MO, 63130, USA.

出版信息

Cogn Affect Behav Neurosci. 2021 Jun;21(3):472-489. doi: 10.3758/s13415-020-00853-x. Epub 2021 Jan 13.

Abstract

Prominent models of control assume that conflict and the probability of conflict are signals used by control processes that regulate attention. For example, when conflict is frequent across preceding trials (i.e., high probability of conflict), control processes bias attention toward goal-relevant information on subsequent trials. An important but underspecified question regards the meta-control property of timescale-that is, how far back does the control system "look" to determine the probability of conflict? To address this question, Aben, Verguts, and Van den Bussche (2017) developed a statistical model quantifying the timescale of control. In a flanker task, they observed short timescales for lists with a low probability of conflict (which induce reactive control) and long timescales for lists with a high probability of conflict (which induce proactive control). To investigate the domain generality of these timescales, we applied their model to two additional conflict tasks that manipulated the list-wide probability of conflict. Our findings replicated Aben et al. suggesting meta-control may be task general with respect to timescales operating on the list level. We subsequently modified their model to examine timescale differences for items in the same list that differed in their probability of conflict but not the type of control engaged. We failed to detect a difference in timescales between items. Collectively, the findings demonstrate that differences in the timescale of control are task general and suggest that timescale differences are driven by the type of control engaged and not by the probability of conflict per se.

摘要

控制的突出模型假设,冲突和冲突的可能性是用于调节注意力的控制过程的信号。例如,当在前一个试验中频繁出现冲突时(即,冲突的高概率),控制过程会使注意力偏向后续试验中与目标相关的信息。一个重要但未明确规定的问题涉及时间尺度的元控制属性,即控制系统“观察”多远以确定冲突的可能性?为了解决这个问题,Aben、Verguts 和 Van den Bussche(2017 年)开发了一种统计模型,用于量化控制的时间尺度。在侧抑制任务中,他们观察到低冲突概率(引发反应性控制)的列表的短时间尺度和高冲突概率(引发前摄性控制)的列表的长时间尺度。为了研究这些时间尺度的领域普遍性,我们将他们的模型应用于另外两个冲突任务,这些任务操纵了列表范围内冲突的概率。我们的发现复制了 Aben 等人的发现,表明元控制在列表级别上的操作时间尺度上可能是任务通用的。随后,我们修改了他们的模型,以检查同一列表中具有不同冲突可能性但不参与相同控制类型的项目的时间尺度差异。我们未能检测到项目之间时间尺度的差异。总之,这些发现表明控制时间尺度的差异是任务通用的,并表明时间尺度差异是由所涉及的控制类型而不是冲突的概率本身驱动的。

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